Variance Components/Major Locus Likelihood
Approximation for Quantitative, Polychotomous,
and Multivariate Data
Hasstedt SJ
Department of Human Genetics, University of Utah, Salt Lake City 84112.
Genetic Epidemiology, 10(3):145-158 (1993)
Abstract
Pearson [Philos Trans R Soc Lond [A] 200:1-66, 1903], Mendell and Elston [Biometrics
30:41-57, 1974], and Rice et al. [Biometrics 35:451-459, 1979] approximated the
likelihood of the multifactorial model on a dichotomous phenotype by a procedure of
successive univariate computation and conditioning. Hasstedt [Pap: Pedigree Analysis
Package, Rev. 3. 1989] and Demenais [Am J Hum Genet 49:773-785, 1991] extended
the algorithm to include a major locus. Here I extend the algorithm to polychotomous,
quantitative, and multivariate phenotypes, add a major locus to the model, and describe
and evaluate the accuracy of an approximation of the resulting variance
components/major locus model.
Variance component linkage analysis